• Determining How Different Factors Affect Police-Allegation’s Sustainability in Chicago using Decision-Tree
  • Archival and Museum Information as a Component of the Common Digital Space of Scientific Knowledge
  • Building an Integrated Relational Database from Swiss Nutrition’s (menuCH) and Multiple Swiss Health Datasets Acquired from 1992 to 2012 for Data Mining Purposes
  • Data Mining for Animal Health to Improve Human Quality of Life: Insights from a University Veterinary Hospital
  • DERM: A Reference Model for Data Engineering
  • GRASP: Graph-based Mining of Scientific Papers
  • Motif-based Classification using Enhanced Sub-Sequence-Based Dynamic Time Warping
  • Similarity of Software Libraries: A Tag-based Classification Approach
  • Biomedical Dataset Recommendation
  • Deep Learning for RF-based Drone Detection and Identification using Welch’s Method
  • DQ-MeeRKat: Automating Data Quality Monitoring with a Reference-Data-Profile-Annotated Knowledge Graph
  • A Survey of Social Emotion Prediction Methods
  • A Comparative Study on Inflated and Dispersed Count Data
  • WFDU-net: A Workflow Notation for Sovereign Data Exchange
  • A Network based Approach for Reducing Variant Diversity in Production Planning and Control
  • Database Recovery from Malicious Transactions: A Use of Provenance Information
  • Predicting Shopping Intent of e-Commerce Users using LSTM Recurrent Neural Networks
  • An Efficient Representation of Enriched Temporal Trajectories
  • textPrep: A Text Preprocessing Toolkit for Topic Modeling on Social Media Data
  • Semantic Entanglement on Verb Negation
  • Using BPMN for ETL Conceptual Modelling: A Case Study
  • Well-Being in Plastic Surgery: Deep Learning Reveals Patients’ Evaluations
  • Applied Feature-oriented Project Life Cycle Classification
  • Semantic Enrichment of Vital Sign Streams through Ontology-based Context Modeling using Linked Data Approach
  • Data Driven Hybrid Approach for Health Monitoring and Fault Detection in Military Ground Vehicles
  • Impact of Duplicating Small Training Data on GANs
  • Making Data Big for a Deep-learning Analysis: Aggregation of Public COVID-19 Datasets of Lung Computed Tomography Scans
  • Toward a Multimodal Multitask Model for Neurodegenerative Diseases Diagnosis and Progression Prediction
  • A Study on the Effects of Response Time on Travel Package Attributes
  • Estimating Territory Risk Relativity for Auto Insurance Rate Regulation using Generalized Linear Mixed Models
  • Detecting Twitter Fake Accounts using Machine Learning and Data Reduction Techniques
  • Knowledge Graph Analysis of Russian Trolls
  • Aspect Based Sentiment Analysis on Online Review Data to Predict Corporate Reputation
  • A Longitudinal Model for Song Popularity Prediction
  • Evo-Path: Querying Data Evolution through Complex Changes
  • Enhanced AI On-the-Edge 3D Vision Accelerated Point Cloud Spatial Computing Solution
  • Tailoring Taint Analysis for Database Applications in the K Framework
  • Forecasting Stock Market Trends using Deep Learning on Financial and Textual Data
  • A Graph-based Approach at Passage Level to Investigate the Cohesiveness of Documents
  • A Reference Process for Judging Reliability of Classification Results in Predictive Analytics
  • A Company’s Corporate Reputation through the Eyes of Employees Measured with Sentiment Analysis of Online Reviews
  • A Comparison of Methods for the Evaluation of Text Summarization Techniques
  • Invers Natural Number System to Maintain User-defined Sequence of Data Records
  • A Real-time and Energy-aware Framework for Data Stream Processing in the Internet of Things
  • Customer Relationship Management Improvement using IoT Data
  • Cloud-based Private Querying of Databases by Means of Homomorphic Encryption
  • Detection of Malicious Binaries by Applying Machine Learning Models on Static and Dynamic Artefacts
  • Detection of Malicious Binaries by Deep Learning Methods
  • A Principled Approach to Enriching Security-related Data for Running Processes through Statistics and Natural Language Processing
  • Comparison between Filtered Canny Edge Detector and Convolutional Neural Network for Real Time Lane Detection in a Unity 3D Simulator
  • Malware Detection for IoT Devices using Automatically Generated White List and Isolation Forest
  • Use of Machine Learning for Expanding Realistic and Usable Routes for Data Analysis on Sustainable Mobility
  • A Comparison among Wi-Fi Direct, Classic Bluetooth, and Bluetooth Low Energy Discovery Procedures for Enabling Massive Machine Type Communications
  • An Ontological Approach to the Formation of an Excursion Route by Heritage Objects in GIS
  • Internet of Things based Product-Service System in the Maritime Industrial Sector
  • Identifying Food Fraud using Blockchain
  • Challenges in Data Acquisition and Management in Big Data Environments
  • Research on Optimization of 4G-LTE Wireless Network Cells Anomaly Diagnosis Algorithm based on Multidimensional Time Series Data
  • A Low-Complexity Algorithm for NB-IoT Networks
  • SIMBIoTA: Similarity-based Malware Detection on IoT Devices
  • The VoIP PBX Honeypot Advance Persistent Threat Analysis
  • Analysis of the Message Queueing Telemetry Transport Protocol for Data Labelling: An Orthopedic Manufacturing Process Case Study
  • IoT based Circadian Rhythm Monitoring using Fuzzy Logic
  • Role of Artificial Intelligence of Things (AIoT) in Covid-19 Pandemic: A Brief Survey
  • Information Flow Secure CAmkES
  • Selforganisational High Efficient Stable Chaos Patterns
  • Approximate Query Processing for Lambda Architecture
  • Analysis Layer Implementation Method for a Streaming Data Processing System
  • Smart Cities V2I Cloud based Infrastructure using Road Side Units
  • A Deployable Data as a Service Architecture for Enterprises
  • Malicious Activity Detection using Smart Contracts in IoT
  • A Preliminary Overview of the Situation in Big Data Testing
  • Secure Key Management in Embedded Systems: A First Proposal
  • An Arduino-based Device to Detect Dangerous Audio Noises
  • Detection of Anomalous User Activity for Home IoT Devices
  • Development of Low-cost IoT System for Monitoring and Enhancing Renewable Energy Feed-in Tariff at Household in Hong Kong
  • Deep Learning for COVID-19 Prediction based on Blood Test
  • Homicide Network Detection based on Social Network Analysis
  • The Data Deconflation Problem: Moving from Classical to Emerging Solutions
  • Machine Learning-aided Automatic Calibration of Smart Thermal Cameras for Health Monitoring Applications
  • Applying Machine Learning to Weather and Pollution Data Analysis for a Better Management of Local Areas: The Case of Napoli, Italy
  • C*DynaConf: An Apache Cassandra Auto-tuning Tool for Internet of Things Data